From 6476f5f49b373cd4cf05f2e73389df83e437d597 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 13 Feb 2025 16:30:31 +0100 Subject: Axis legend formatting, update vignettes --- docs/dev/reference/lrtest.mkinfit.html | 233 --------------------------------- 1 file changed, 233 deletions(-) delete mode 100644 docs/dev/reference/lrtest.mkinfit.html (limited to 'docs/dev/reference/lrtest.mkinfit.html') diff --git a/docs/dev/reference/lrtest.mkinfit.html b/docs/dev/reference/lrtest.mkinfit.html deleted file mode 100644 index d59590c0..00000000 --- a/docs/dev/reference/lrtest.mkinfit.html +++ /dev/null @@ -1,233 +0,0 @@ - -Likelihood ratio test for mkinfit models — lrtest.mkinfit • mkin - - -
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Compare two mkinfit models based on their likelihood. If two fitted -mkinfit objects are given as arguments, it is checked if they have been -fitted to the same data. It is the responsibility of the user to make sure -that the models are nested, i.e. one of them has less degrees of freedom -and can be expressed by fixing the parameters of the other.

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- -
-
# S3 method for mkinfit
-lrtest(object, object_2 = NULL, ...)
-
-# S3 method for mmkin
-lrtest(object, ...)
-
- -
-

Arguments

-
object
-

An mkinfit object, or an mmkin column -object containing two fits to the same data.

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object_2
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Optionally, another mkinfit object fitted to the same data.

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...
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Argument to mkinfit, passed to -update.mkinfit for creating the alternative fitted object.

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Details

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Alternatively, an argument to mkinfit can be given which is then passed -to update.mkinfit to obtain the alternative model.

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The comparison is then made by the lrtest.default -method from the lmtest package. The model with the higher number of fitted -parameters (alternative hypothesis) is listed first, then the model with the -lower number of fitted parameters (null hypothesis).

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Examples

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# \dontrun{
-test_data <- subset(synthetic_data_for_UBA_2014[[12]]$data, name == "parent")
-sfo_fit <- mkinfit("SFO", test_data, quiet = TRUE)
-dfop_fit <- mkinfit("DFOP", test_data, quiet = TRUE)
-lrtest(dfop_fit, sfo_fit)
-#> Likelihood ratio test
-#> 
-#> Model 1: DFOP with error model const
-#> Model 2: SFO with error model const
-#>   #Df  LogLik Df  Chisq Pr(>Chisq)    
-#> 1   5 -42.453                         
-#> 2   3 -63.954 -2 43.002  4.594e-10 ***
-#> ---
-#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
-lrtest(sfo_fit, dfop_fit)
-#> Likelihood ratio test
-#> 
-#> Model 1: DFOP with error model const
-#> Model 2: SFO with error model const
-#>   #Df  LogLik Df  Chisq Pr(>Chisq)    
-#> 1   5 -42.453                         
-#> 2   3 -63.954 -2 43.002  4.594e-10 ***
-#> ---
-#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
-
-# The following two examples are commented out as they fail during
-# generation of the static help pages by pkgdown
-#lrtest(dfop_fit, error_model = "tc")
-#lrtest(dfop_fit, fixed_parms = c(k2 = 0))
-
-# However, this equivalent syntax also works for static help pages
-lrtest(dfop_fit, update(dfop_fit, error_model = "tc"))
-#> Likelihood ratio test
-#> 
-#> Model 1: DFOP with error model tc
-#> Model 2: DFOP with error model const
-#>   #Df  LogLik Df  Chisq Pr(>Chisq)    
-#> 1   6 -34.587                         
-#> 2   5 -42.453 -1 15.731  7.302e-05 ***
-#> ---
-#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
-lrtest(dfop_fit, update(dfop_fit, fixed_parms = c(k2 = 0)))
-#> Likelihood ratio test
-#> 
-#> Model 1: DFOP with error model const
-#> Model 2: DFOP with error model const and fixed parameter(s) k2
-#>   #Df  LogLik Df  Chisq Pr(>Chisq)    
-#> 1   5 -42.453                         
-#> 2   4 -57.340 -1 29.776  4.851e-08 ***
-#> ---
-#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
-# }
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- - - - - - - - -- cgit v1.2.1